Hack your Domain-Specific Language - Alexis Facques

Domain-Specific Languages (DSL) - Master Cloud Computing & Services Project - Université de Rennes 1

Domain-Specific Language (DSL) development for modelling variability, using JAVA, Eclipse XTEXT and XTEND. This includes :

• Creating an abstract syntax and grammar for our DSL;
• Developing model transformations towards other file formats (JSON, Natural Language, CNF);
• Solving (Deadlock feature detection, satisfiability...) random Feature Models using our DSL and implemented solvers such as Sat4J.

Practical uses of our DSL will be shown through the development of a feature model configurator, using NodeJS.

External links

• Course's repository
• Detailed project milestones

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

• Clone this repo, build the docker image:

    git clone https://github.com/alexisfacques/DSL-Feature-Modelling.git
    cd DSL-Feature-Modelling/web
    docker build --tag featuremodelling .

• Run the image as such:

docker run -v -p 8080:8080 featuremodelling

• Web feature model configurator is available on http//localhost:8080.

Project milestones - Table of contents

Project report is available here

Milestone 1 - Basic Feature Model and XTEXT

Worth checking:

• XText Grammar
• Example of use

Milestone 2 - Transformation of Feature Models

Worth checking:

• DIMACS transformation strategy (interoperability with SAT4J solvers) solvers
• JSON transformation strategy
• Minizinc format transformation strategy (interoperability with CSP solvers)
• SAT4J Solver implementation
• Random feature model generator
• Executable .jars files

Milestone 3 - For Feature Model to Wizards and configurator

Worth checking:

• Angular application sources
• NodeJS web server

License

This project is licensed under the MIT License.